Department of Biostatistics, University of Liverpool, Whelan Building, Liverpool, L69 3GB, UK.
Cochrane Editorial Unit, London, SW1Y 4QX, UK.
Syst Rev. 2017 Jul 13;6(1):142. doi: 10.1186/s13643-017-0533-4.
Tuberculosis patients receiving anti-tuberculosis treatment may experience serious adverse drug reactions, such as hepatotoxicity. Genetic risk factors, such as polymorphisms of the NAT2, CYP2E1 and GSTM1 genes, may increase the risk of experiencing such toxicity events. Many pharmacogenetic studies have investigated the association between genetic variants and anti-tuberculosis drug-related toxicity events, and several meta-analyses have synthesised data from these studies, although conclusions from these meta-analyses are conflicting. Many meta-analyses also have serious methodological limitations, such as applying restrictive inclusion criteria, or not assessing the quality of included studies. Most also only consider hepatotoxicity outcomes and specific genetic variants. The purpose of this systematic review and meta-analysis is to give a comprehensive evaluation of the evidence base for associations between any genetic variant and anti-tuberculosis drug-related toxicity.
We will search for studies in MEDLINE, EMBASE, BIOSIS and Web of Science. We will also hand search reference lists from relevant studies and contact experts in the field. We will include cohort studies, case-control studies and randomised controlled trials that recruited patients with tuberculosis who were either already established on anti-tuberculosis treatment or were commencing treatment and who were genotyped to investigate the effect of genetic variants on any anti-tuberculosis drug-related toxicity outcome. One author will screen abstracts to identify potentially relevant studies and will then obtain the full text for each potentially relevant study in order to assess eligibility. At each of these stages, a second author will independently screen/assess 10% of studies. Two authors will independently extract data and assess the quality of studies using a pre-piloted data extraction form. If appropriate, we will pool estimates of effect for each genotype on each outcome using meta-analyses stratified by ethnicity.
Our review and meta-analysis will update and add to the existing research in this field. By not restricting the scope of the review to a specific drug, genetic variant, or toxicity outcome, we hope to synthesise data for associations between genetic variants and anti-tuberculosis drug-related toxicity outcomes that have previously not been summarised in systematic reviews, and consequently, add to the knowledge base of the pharmacogenetics of anti-tuberculosis drugs.
PROSPERO CRD42017068448.
接受抗结核治疗的结核病患者可能会出现严重的药物不良反应,例如肝毒性。遗传风险因素,如 NAT2、CYP2E1 和 GSTM1 基因的多态性,可能会增加发生此类毒性事件的风险。许多药物遗传学研究已经研究了遗传变异与抗结核药物相关毒性事件之间的关系,并且已经有几项荟萃分析综合了这些研究的数据,尽管这些荟萃分析的结论存在冲突。许多荟萃分析也存在严重的方法学局限性,例如应用限制性纳入标准,或不评估纳入研究的质量。大多数分析仅考虑肝毒性结局和特定的遗传变异。本系统评价和荟萃分析的目的是全面评估任何遗传变异与抗结核药物相关毒性之间关联的证据基础。
我们将在 MEDLINE、EMBASE、BIOSIS 和 Web of Science 中搜索研究。我们还将从相关研究的参考文献中进行手工检索,并联系该领域的专家。我们将纳入队列研究、病例对照研究和随机对照试验,这些研究招募了已经接受抗结核治疗或开始接受治疗的结核病患者,并对其进行基因分型,以研究遗传变异对任何抗结核药物相关毒性结局的影响。一位作者将筛选摘要以确定潜在相关的研究,然后获取每一项潜在相关研究的全文,以评估其纳入标准。在每个阶段,第二位作者将独立筛选/评估 10%的研究。两位作者将使用预制定的数据提取表独立提取数据并评估研究的质量。如果合适,我们将使用荟萃分析按种族对每种基因型的每种结局的效应估计值进行分层汇总。
我们的综述和荟萃分析将更新并补充该领域现有的研究。通过不限制综述的范围仅限于特定的药物、遗传变异或毒性结局,我们希望综合以前没有在系统评价中总结的遗传变异与抗结核药物相关毒性结局之间关系的数据,从而为抗结核药物的药物遗传学知识库增添知识。
PROSPERO CRD42017068448。